Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/161312
Title: Wearable cardiorespiratory sensors for aerospace applications
Authors: Pongsakornsathien, Nichakorn
Gardi, Alessandro
Lim, Yixiang
Sabatini, Roberto
Kistan, Trevor
Keywords: Engineering::Aeronautical engineering
Issue Date: 2022
Source: Pongsakornsathien, N., Gardi, A., Lim, Y., Sabatini, R. & Kistan, T. (2022). Wearable cardiorespiratory sensors for aerospace applications. Sensors, 22(13), 4673-. https://dx.doi.org/10.3390/s22134673
Journal: Sensors
Abstract: Emerging Air Traffic Management (ATM) and avionics human-machine system concepts require the real-time monitoring of the human operator to support novel task assessment and system adaptation features. To realise these advanced concepts, it is essential to resort to a suite of sensors recording neurophysiological data reliably and accurately. This article presents the experimental verification and performance characterisation of a cardiorespiratory sensor for ATM and avionics applications. In particular, the processed physiological measurements from the designated commercial device are verified against clinical-grade equipment. Compared to other studies which only addressed physical workload, this characterisation was performed also looking at cognitive workload, which poses certain additional challenges to cardiorespiratory monitors. The article also addresses the quantification of uncertainty in the cognitive state estimation process as a function of the uncertainty in the input cardiorespiratory measurements. The results of the sensor verification and of the uncertainty propagation corroborate the basic suitability of the commercial cardiorespiratory sensor for the intended aerospace application but highlight the relatively poor performance in respiratory measurements during a purely mental activity.
URI: https://hdl.handle.net/10356/161312
ISSN: 1424-8220
DOI: 10.3390/s22134673
Schools: School of Mechanical and Aerospace Engineering 
Research Centres: Saab-NTU Joint Lab
Rights: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

Files in This Item:
File Description SizeFormat 
sensors-22-04673-v2.pdf7.28 MBAdobe PDFThumbnail
View/Open

SCOPUSTM   
Citations 50

2
Updated on Jul 13, 2024

Web of ScienceTM
Citations 50

1
Updated on Oct 25, 2023

Page view(s)

95
Updated on Jul 17, 2024

Download(s)

36
Updated on Jul 17, 2024

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.